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Magnus HedemarkandGitHub 24f21c64e3 test(evals): complete canonical coverage
Squash-merge the verified #412 eval coverage implementation. Required validate and paired evaluation checks passed at exact head b43ac564a5919a0f23fdab49ba052d7c514915cb; droid-review BYOK failure had no findings and is advisory.
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Vercel Eve skill

Build and operate durable AI agents with Vercel Eve, including the parts that matter when you leave Vercels managed platform.

Why Install This Skill

Eve makes an agent legible: instructions, tools, skills, subagents, integrations, schedules, and sandboxing live in predictable files. That gives an agent project the shape of an application rather than a pile of prompts and callbacks.

The hard part is deployment. This skill keeps the distinction clear between “the Node server started” and “durable agent work survives restart, resumes through the proxy, protects credentials, and produces usable traces.” It covers both Vercel and self-hosted Node deployments.

What You Get

Resource Purpose
SKILL.md Development, deployment, security, and verification workflow
references/development-and-architecture.md Agent-directory model, tools, skills, subagents, connections, sandboxing, and observability
references/deployment-and-self-hosting.md Vercel versus Node hosting, persistent workflow state, reverse proxy, model, auth, scheduling, and validation requirements
references/source-index.md Official documentation and repository sources
evals/evals.json Representative skill-quality scenarios

Quick Start

npx eve@latest init my-agent
cd my-agent
npm run dev

For a self-hosted service:

eve build
PORT=3000 eve start --host 0.0.0.0

Do not expose it until persistent workflow storage, authentication, proxy routes, and a real session have been verified.

Triggers

Use this skill when building an Eve agent, adding tools or skills, configuring subagents, sandboxes, sessions, schedules, channels, connections, telemetry, Vercel deployment, or self-hosted Eve infrastructure.

Requirements

Current Eve requires Node.js 24+. An agent needs an LLM provider credential or AI Gateway access. Production self-hosting also needs persistent storage for workflow state, an authentication policy, and an appropriate sandbox backend for any generated command or code execution.